Machine learning predictive model for severe COVID-19

Machine learning predictive model for severe COVID-19

To develop a modified predictive model for severe COVID-19 in people infected with Sars-Cov-2. We developed the predictive model for severe patients of COVID-19 based on the clinical date from the Tumor Center of Union Hospital affiliated with Tongji Medical College, China. A total of 151 cases from...

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Veröffentlicht in:Infection, genetics and evolution genetics and evolution, 2021-06, Vol.90, p.104737-104737, Article 104737
Hauptverfasser: Kang, Jianhong, Chen, Ting, Luo, Honghe, Luo, Yifeng, Du, Guipeng, Jiming-Yang, Mia
Format: Artikel
Sprache:eng
Schlagworte:
Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Biomarkers
COVID-19 - diagnosis
COVID-19 - epidemiology
COVID-19 - virology
Databases, Factual
Female
Humans
Machine Learning
Male
Middle Aged
Models, Theoretical
Predictive model
Prognosis
Research Paper
ROC Curve
SARS-CoV-2
Severe COVID-19
Severity of Illness Index
Software
Tomography, X-Ray Computed
Young Adult
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Zusammenfassung:To develop a modified predictive model for severe COVID-19 in people infected with Sars-Cov-2. We developed the predictive model for severe patients of COVID-19 based on the clinical date from the Tumor Center of Union Hospital affiliated with Tongji Medical College, China. A total of 151 cases from Jan. 26 to Mar. 20, 2020, were included. Then we followed 5 steps to predict and evaluate the model: data preprocessing, data splitting, feature selection, model building, prevention of overfitting, and Evaluation, and combined with artificial neural network algorithms. We processed the results in the 5 steps. In feature selection, ALB showed a strong negative correlation (r = 0.771, P 
ISSN:1567-1348
1567-7257
DOI:10.1016/j.meegid.2021.104737